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Estimation of Axial Load-carrying Capacity of Elliptical Concrete Filled Steel Tubular Columns Using Computational Intelligence
Research at the School of Pedagogical and Technology Education in Athens, Greece, has presented a novel approach to predicting the axial load-carrying capacity of Elliptical Concrete Filled Steel Tubular (ECFST) members using computational intelligence. The study employed hybrid artificial neural networks (ANN) and metaheuristic optimization techniques to accurately estimate this